Evidence map›Paper›PMID 31332249›Full record

ArticleScientific reports2019

Asynchronous generation of oil droplets using a microfluidic flow focusing system.

Peter Thurgood, Sara Baratchi, Aram Arash, Elena Pirogova, Aaron R Jex, Khashayar Khoshmanesh

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 16 citations in OpenAlex.

  1. Periodic Flows in Microfluidics.Small (Weinheim an der Bergstrasse, Germany) · 2024
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Peter ThurgoodSchool of Engineering, RMIT University, Melbourne, Australia. Peter.thurgood@rmit.edu.au.ORCID http://orcid.org/0000-0002-4465-1281
Sara BaratchiSchool of Health and Biomedical Sciences, RMIT University, Bundoora, Australia.
Aram ArashSchool of Engineering, RMIT University, Melbourne, Australia.ORCID http://orcid.org/0000-0002-8009-3256
Elena PirogovaSchool of Engineering, RMIT University, Melbourne, Australia.
Aaron R JexPopulation Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia.
Khashayar KhoshmaneshSchool of Engineering, RMIT University, Melbourne, Australia. Khashayar.khoshmanesh@rmit.edu.au.
RMIT University · AUMIT University · MKThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we show that long-term exposure of PDMS based microfluidic droplet generation systems to water can reverse their characteristics such that they generate oil-in-water droplets instead of water-in-oil droplets. The competition between two oil columns entering via the two side channels leads to asynchronous generation of oil droplets. We identify various modes of droplet generation, and study the size, gap and generation rate of droplets under different combinations of oil and water pressures. Oil droplets can also be generated using syringe pumps, various oil viscosities, and different combinations of immiscible liquids. We also demonstrate the ability to dynamically change the gap between the oil droplets from a few hundred microns to just a few microns in successive cycles using a latex balloon pressure pump. This method requires no special equipment or chemical treatments, and importantly can be reversed by long-term exposure of the PDMS surfaces to the ambient air.

Identifiers

PMID31332249
PMCPMC6646804
OpenAlexW2963200982

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.